At a Glance
- Tasks: Lead the deployment of cutting-edge Generative AI applications in enterprise environments.
- Company: Join Scale AI, a pioneer in the next era of enterprise AI.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on customer-first solutions.
- Why this job: Be at the forefront of AI innovation and make a real-world impact.
- Qualifications: 3-5 years in engineering management with a passion for Generative AI.
The predicted salary is between 80000 - 98000 £ per year.
Lead the deployment of enterprise-grade Generative AI applications in customer environments.
At Scale AI, we are pioneering the next era of enterprise AI. As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world's largest enterprises and government organizations. Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries.
We are looking for a technical and strategic Engineering Manager to lead our European Forward Deployed Engineering (FDE) team. This is a high ownership role at a pivotal moment. You will be responsible for delivering high impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence.
Why this role is unique:
- Right place, right time: We are moving from prototypes to production at scale.
- Customer first mindset: You will foster a culture of deep customer empathy and practical problem solving.
- Strategic influence: The lessons from forward deployed efforts directly inform our core product roadmap.
- Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast moving environment.
This is a rare opportunity to help define how the next generation of AI applications is built and deployed. If you are excited by the pace of innovation in GenAI, passionate about solving real world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you.
You Will:
- Lead, mentor, and grow a high-performing team of forward deployed engineers supporting enterprise GenAI initiatives.
- Set clear technical direction and foster a culture of ownership, speed, and trust.
- Work hands on with customers to deeply understand and solve complex business and technical challenges.
- Scope, deliver, and guide the adoption of solutions by embedding directly with customer teams.
- Make smart tradeoffs between speed, scope, reusability, and bespoke solutions.
- Drive technical decisions and help the team navigate system integrations and architecture choices.
- Shape the product roadmap by translating customer needs into scalable platform improvements.
- Build internal tooling and shared capabilities to accelerate delivery across diverse use cases.
- Collaborate across engineering, product, and customer teams to streamline execution and reduce friction.
- Ensure fast, high-quality delivery of features, experiments, and customer launches.
- Provide strategic clarity to your team and attract, hire, and retain world class engineering talent.
Ideally, You Have:
- 3-5+ years of engineering management experience, ideally in high growth tech environments with direct customer engagement.
- A strong engineering background and a track record of leading technical teams to deliver impactful products.
- Hands on experience building or deploying AI powered systems, with an understanding of how model behavior shapes user experience.
- A deep interest in Generative AI and a belief in its potential to transform enterprise workflows.
- Proven ability to make fast, sound decisions in high pressure or ambiguous situations.
- The leadership presence to earn trust and respect from engineers, peers, and senior stakeholders.
- Strategic thinking with a clear ability to turn business goals into actionable engineering plans.
- Operational rigor in planning, prioritizing, and delivering complex software systems at scale.
- Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps, and scalable platform architecture.
- Strong communication and collaboration skills, with the ability to align cross functional teams toward common goals.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
GenAI Frontline Engineering Manager: Enterprise Deployments employer: Job Search Place Limited
At Scale AI, we pride ourselves on being at the forefront of the Generative AI revolution, offering a dynamic work environment in London that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and a culture that values customer-centric problem solving, ensuring that every team member can make a meaningful impact. Join us to be part of a diverse team that not only embraces cutting-edge technology but also prioritises inclusivity and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Frontline Engineering Manager: Enterprise Deployments
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Job Search Place Limited.
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Job Search Place Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace GenAI Frontline Engineering Manager: Enterprise Deployments
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Job Search Place Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Job Search Place Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Job Search Place Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Job Search Place Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.